A Portable and Affordable Four-Channel EEG System for Emotion Recognition with Self-Supervised Feature Learning

Emotions play a pivotal role in shaping human decision-making, behavior, and physiological well-being. Electroencephalography (EEG)-based emotion recognition offers promising avenues for real-time self-monitoring and affective computing applications. However, existing commercial solutions are often...

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Detalles Bibliográficos

Principais autores:	Hao Luo, Haobo Li, Wei Tao, Yi Yang, Chio-In Ieong, Feng Wan
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2025-05-01
Series:	Mathematics
Assuntos:	electroencephalogram (EEG) affective computing few-channel EEG wearable EEG self-supervised learning feature extraction
Acceso en liña:	https://www.mdpi.com/2227-7390/13/10/1608
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